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Results 1 - 4 of 4 for isidentical (0.21 sec)

  1. tensorflow/c/experimental/ops/README.md

    operator in the script should be in the "math" category, and it will be
    generated in the output file `c/experimental/ops/math_ops.cc`.
    
    Running this script should be a no-op, generating identical code other than
    Plain Text
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  2. tensorflow/c/eager/c_api_experimental.h

    // Given a Tensor, wrap it with a TensorHandle
    //
    // Similar to TFE_NewTensorHandle, but includes a pointer to the TFE_Context.
    // The context should be identical to that of the Tensor.
    TF_CAPI_EXPORT TFE_TensorHandle* TFE_NewTensorHandleFromTensor(
        TFE_Context* ctx, TF_Tensor* t, TF_Status* status);
    
    // Create a packed TensorHandle with the given list of TensorHandles.
    C
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  3. tensorflow/c/experimental/filesystem/filesystem_interface.h

                     TF_Status* status);
    
      /// Returns the current write position in `*file`.
      ///
      /// Plugins should ensure that the implementation is idempotent, 2 identical
      /// calls result in the same answer.
      ///
      /// Plugins:
      ///   * Must set `status` to `TF_OK` and return current position if no error.
      ///   * Must set `status` to any other value and return -1 in case of error.
    C
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  4. RELEASE.md

        * Whether you represent a ragged tensor as a `tf.RaggedTensor` or using [keras masking](https://www.tensorflow.org/guide/keras/masking_and_padding), the returned loss values should be the identical to each other. In previous versions Keras may have silently ignored the mask.
     * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.
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